| A gait analysis method based on a depth camera for fall prevention A Dubois, F Charpillet 2014 36th annual international conference of the IEEE engineering in …, 2014 | 71 | 2014 |
| Human activities recognition with RGB-Depth camera using HMM A Dubois, F Charpillet 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 67 | 2013 |
| Matching optical flow to motor speed in virtual reality while running on a treadmill M Caramenti, CL Lafortuna, E Mugellini, O Abou Khaled, JP Bresciani, ... PloS one 13 (4), e0195781, 2018 | 39 | 2018 |
| Validation of an ambient system for the measurement of gait parameters A Dubois, JP Bresciani Journal of biomechanics 69, 175-180, 2018 | 35 | 2018 |
| Measuring frailty and detecting falls for elderly home care using depth camera A Dubois, F Charpillet Journal of ambient intelligence and smart environments 9 (4), 469-481, 2017 | 32 | 2017 |
| Automating the timed up and go test using a depth camera A Dubois, T Bihl, JP Bresciani Sensors 18 (1), 14, 2017 | 28 | 2017 |
| Person identification from gait analysis with a depth camera at home A Dubois, JP Bresciani 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 25 | 2015 |
| Regular physical activity modulates perceived visual speed when running in treadmill-mediated virtual environments M Caramenti, CL Lafortuna, E Mugellini, O Abou Khaled, JP Bresciani, ... PLoS One 14 (6), e0219017, 2019 | 20 | 2019 |
| Identifying fall risk predictors by monitoring daily activities at home using a depth sensor coupled to machine learning algorithms A Dubois, T Bihl, JP Bresciani Sensors 21 (6), 1957, 2021 | 16 | 2021 |
| Influence of the size of the field of view on visual perception while running in a treadmill-mediated virtual environment M Caramenti, P Pretto, CL Lafortuna, JP Bresciani, A Dubois Frontiers in psychology 10, 476593, 2019 | 15 | 2019 |
| Automatic fall detection system with a RGB-D camera using a hidden Markov model A Dubois, F Charpillet International Conference on Smart Homes and Health Telematics, 259-266, 2013 | 15 | 2013 |
| Fast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks A Dubois, A Mouthon, RS Sivagnanaselvam, JP Bresciani Journal of neuroengineering and rehabilitation 16, 1-10, 2019 | 14 | 2019 |
| Automatic measurement of fall risk indicators in timed up and go test A Dubois, T Bihl, JP Bresciani Informatics for health and social care 44 (3), 237-245, 2019 | 13 | 2019 |
| Using hmms for discriminating mobile from static objects in a 3d occupancy grid A Dubois, A Dib, F Charpillet 2011 IEEE 23rd International Conference on Tools with Artificial …, 2011 | 13 | 2011 |
| Tracking mobile objects with several kinects using HMMs and component labelling A Dubois, F Charpillet Workshop Assistance and Service Robotics in a human environment …, 2012 | 8 | 2012 |
| Detecting and preventing falls with depth camera, tracking the body center A Dubois, F Charpillet The 12th European Association for the Advancement of Assistive Technology in …, 2013 | 7 | 2013 |
| Mesure de la fragilité et détection de chutes pour le maintien à domicile des personnes âgées A Dubois Université de Lorraine, 2014 | 6 | 2014 |
| No evidence that frontal optical flow affects perceived locomotor speed and locomotor biomechanics when running on a treadmill M Caramenti, CL Lafortuna, E Mugellini, O Abou Khaled, JP Bresciani, ... Applied Sciences 9 (21), 4589, 2019 | 2 | 2019 |
| Les NTIC pour le maintien à domicile des personnes âgées A Dubois PhD thesis, Université Nancy 2, 2010 | 2 | 2010 |
| Système d'évaluation de la fragilité chez les personnes âgées A Dubois, F Charpillet JETSAN-Journées d'étude sur la TéléSanté-2013, 2013 | | 2013 |
Jean-Pierre BrescianiUniversity of Fribourg, Department of NeuroscienceBestätigte E-Mail-Adresse bei unifr.ch
